摘要
为提升660 MW超超临界燃煤机组状态智能监控,设计660 MW超超临界燃煤机组智能辅助运行系统。在系统硬件部分,引入DCS技术,将其作为控制模块,并重点设计流量积算仪、远程I/O与耦合器,对660 MW超超临界燃煤的运行状况进行数据分析,实现监盘界面数据安全传输。在系统软件部分,采用粒子群算法对运行数据处理,预测燃煤机组运行状态,采用PID控制与Smith预估方法结合的方法实现超临界燃煤机组智能控制。实验结果表明,该方法测得系统负荷分布图为300~500 MW之间,在400 MW负载下、600 MW负载下均能够测得主蒸汽压力、燃料量与给水流量,且烟气含氧量的控制效果较为准确,稳定性较好。
In order to enhance the intelligent monitoring of the condition of 660 MW ultra supercritical coal fired unit,the intelligent auxiliary operation system of 660 MW ultra supercritical coal fired unit is designed.In the hardware part of the system,DCS technology is introduced as the control module,and it focuses on the design of flow accumulator,remote I/O and coupler to analyze the data of the operation condition of 660 MW ultra supercritical coal fired unit and realize the secure data transmission of the monitoring panel interface.In the software part of the system,the particle swarm algorithm is used to process the operation data and predict the operation status of the coal fired unit,and the combination of PID control and Smith prediction method is used to realize the intelligent control of the ultra supercritical coal fired unit.The experimental results show that the method can measure the system load distribution between 300 MW and 500 MW,and can measure the steam pressure,fuel quantity and feedwater flow under 400 MW load and 600 MW load,and the control effect of flue gas oxygen content is more accurate and stable.
作者
张建宇
王悦
包立军
李晓宇
ZHANG Jianyu;WANG Yue;BAO Lijun;LI Xiaoyu(Pithead Power Generation Branch,Inner Mongolia Baiyinhua Coal and Power Co.,Ltd.,State Power Investment Group,Xilinguole League 026200,China)
出处
《机械与电子》
2024年第4期76-80,共5页
Machinery & Electronics
基金
国家电力投资集团有限公司统筹研发经费支持项目(KYTC2020HD09)。
关键词
超临界燃煤机组
智能辅助运行系统
DCS
监盘界面优化
粒子群算法
supercritical coal fired units
intelligent auxiliary operation system
DCS
supervisory panel interface optimization
particle swarm algorithm